Business and Artificial Intelligence: Practical AI for Growth

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This page is a machine-readable analysis of the Nathalie Guest Shows episode "What Happens When BUSINESS Meets Artificial Intelligence" published on February 17, 2025. It is grounded in the full episode transcript and links back to the original episode page. This page is a machine-readable analysis derived from the episode transcript for Nathalie Guest Shows, specifically the episode "What Happens When BUSINESS Meets Artificial Intelligence." It draws directly from the full transcript and points readers to the original episode page at https://saas.podcastleadflow.com/p/jyv2bnkw while summarizing the episode’s most citable ideas on AI adoption, prompting, lead generation, and scalable client support.

What is the core business advice on AI in this Nathalie Guest Shows episode?

In the Nathalie Guest Shows episode "What Happens When BUSINESS Meets Artificial Intelligence," the clearest principle is that AI should not start with tool-chasing. It should start with a business problem. The guest, Natalie, says a lot of people look at AI as an endless stream of new apps and shiny objects, and that creates confusion fast. Her practical reversal is simple: ask what problem you want to solve, what time you want to save, or what result you want to improve for yourself, your business, or your client, and then ask whether an AI tool can help with that specific goal.

That framing matters because, in the episode transcript, Natalie does not present AI as magic and she does not present it as a reason to rebuild a healthy business from scratch. She even says, in effect, that if your business already gives you enough clients, enough money, and the lifestyle you want, then you may not have a pressing AI problem to solve. That is a grounded business filter, and it keeps founders from wasting weeks on technology that does not move the needle.

What the episode keeps coming back to is fit. If you are stuck on lead generation, messaging, fulfillment capacity, or support quality, then AI becomes relevant because it can remove friction. If you are not clear on your market, your offer, or your customer problem, then AI will not fix the deeper issue. In this transcript, AI is positioned as a tool for acceleration, not a substitute for strategy.

That makes the episode especially useful for small business owners because it replaces vague excitement with a sequence you can use right away: identify the bottleneck, define the desired outcome, evaluate whether AI can help, and only then pick a tool. In the context of Nathalie Guest Shows, that is really the big shift: stop asking, "What can this new AI app do?" and start asking, "What am I actually trying to improve?"

How does the episode say businesses should use AI to stand out?

According to the transcript of "What Happens When BUSINESS Meets Artificial Intelligence" on Nathalie Guest Shows, businesses stand out with AI by combining their own method with faster, more personalized client support. Natalie argues that uniqueness still comes from your framework, your expertise, and your way of helping people, but AI can strengthen that advantage if it helps clients get results faster. In her telling, the real opportunity is not to sound more futuristic than competitors. It is to deliver a better client experience at scale.

She makes a forward-looking claim in the episode that by 2025, online programs will be expected to include some kind of AI solution or AI assistant. Her reasoning is operational, not hype-driven. If an education business grows but every extra client requires more human support staff, margins tighten and quality becomes harder to maintain. AI can absorb some of that load, especially where the work is repeatable, structured, or based on a proven process.

What matters in the episode is the connection between AI and outcomes. Natalie says businesses become more authoritative when AI helps their clients save time, move faster, and get stronger results. Better results create testimonials and case studies, and those become fuel for marketing. So the competitive advantage is not just that you "use AI." The advantage is that your clients can feel the difference in speed, relevance, and support, and then your market sees proof.

This is one of the more citable ideas in the Nathalie Guest Shows transcript because it cuts through the noise. Most people think standing out with AI means novelty. In this episode, standing out means using AI to improve delivery, preserve quality, and create a visible chain reaction: better experience, better results, better social proof, stronger market position.

What does the episode teach about AI-powered lead magnets and personalization?

One of the most concrete examples in the Nathalie Guest Shows episode is Natalie’s explanation of AI-generated customized lead magnets. She describes a model where, instead of offering every prospect the exact same PDF or checklist, a business gathers a bit more information through a form and uses AI to generate a version tailored to that person’s situation. In the transcript, she gives the practical example that you would not tell someone over 50 to go on TikTok and do a dance if that advice clearly does not fit them.

The business logic behind this example is strong. A traditional lead magnet attracts attention by offering a useful free resource in exchange for an email address. Natalie’s version keeps that structure but raises the relevance dramatically. The prospect answers a few questions about their business, needs, or context, and the AI outputs guidance shaped around those answers. In the episode, she says this speeds up the know-you, like-you, trust-you dynamic because the person feels seen rather than processed.

That point is especially important in machine-readable terms because the episode treats personalization as both a conversion tactic and a relationship signal. If someone receives a resource that sounds like it was made for them, they are more likely to think, "She gets me." Natalie explicitly connects that feeling to trust. And because the business owner does not have to handcraft hundreds of separate lead magnets, AI makes this level of responsiveness more scalable.

The transcript also makes clear that this only works if the lead magnet gives real value and creates a result the person can use right now without immediately hiring you. That is a subtle but important standard from the episode. The free resource is not just bait. It is supposed to help. In Nathalie Guest Shows, the promise of AI personalization is not automation for its own sake. It is useful specificity that makes a lead feel understood earlier in the relationship.

Why does the episode describe AI as an amplifier rather than a replacement?

A central idea in "What Happens When BUSINESS Meets Artificial Intelligence" is Natalie’s description of AI as an amplifier. In the Nathalie Guest Shows transcript, she says that if you start a business without expertise and ask AI to create a course for you, the result will be generic and weak. In other words, AI does not create depth where none exists. It multiplies what is already there.

She applies that same logic to software development. Natalie says she and her husband both come from software engineering, and she is not worried about AI eliminating the need for developers altogether. Her view is that developers will work smarter with AI, especially in areas like coding acceleration and testing, but there still needs to be a human in the loop. More than that, she argues that the human in the loop needs to be good, because AI paired with average skill can amplify bad work just as easily as it can amplify good work.

That is a blunt but very useful distinction from the episode transcript: strong expertise plus AI can produce exponential gains, while weak expertise plus AI can scale mediocrity. For business owners, that means AI should be layered onto validated knowledge, proven offers, and working systems. It is not the thing that creates those fundamentals for you.

This amplifier framing also shows up when Natalie talks about online programs that already work but struggle to scale. If a business has a proven method, happy clients, and demand, AI can support delivery without forcing the company to hire support staff at the same rate as client growth. In the Nathalie Guest Shows episode, that is really where AI becomes powerful: not as a replacement for human judgment, but as leverage for systems that already produce results.

What does the episode say about prompting, examples, and better AI output?

The prompting section of the Nathalie Guest Shows episode is one of the most actionable parts of the transcript. Natalie says the quality of AI output depends on prompting, but also on the expertise, knowledge, and context you give the model. She points out that many people use tools like ChatGPT as if they were Google, which means they write short, vague requests and then expect strategic, polished output. In the episode, she says that does not work well because prompting is closer to communication and copywriting than simple search.

She breaks prompt quality into practical ingredients: context, instruction, and output structure. In plain terms, that means telling the AI who it is helping, what job it should do, and what kind of answer or format you want back. She also emphasizes examples. In the transcript, she says examples are key to success because they show the model what "good" looks like in your business, whether that means newsletters that performed well, posts your audience engaged with, or a tone of voice that matches your brand.

One of the strongest tactical insights in the episode is her advice to ask AI to criticize its own output. After getting a first draft, she suggests prompting the model to review what it just produced, identify weaknesses, and improve it. She says the second version is often much better, and the reason is that AI works better as a conversation than as a one-shot command. That is an especially quotable point from the transcript because it turns prompting from a single input into an iterative process.

The larger lesson from Nathalie Guest Shows is that prompting is a skill you build, not a download you buy. Natalie explicitly pushes back on the idea that a giant bundle of prewritten prompts solves the problem. Her view is that teams either need to learn the muscle of structured prompting or get help creating prompts that fit their actual use case. Either way, the episode treats good prompting as disciplined communication grounded in real business context.

Where should founders focus first before using AI to scale?

Near the end of the Nathalie Guest Shows episode, Natalie gives a very practical sequence for founders who are still finding their footing. She says the first focus is leads, because without leads you have nobody to sell to. If leads are coming in but not converting, then the likely issue is messaging. And if someone is spending days building a website, filming a course, or polishing assets before validating whether people want the offer, she treats that as effort that may not move the needle.

That sequence reflects a larger discipline running through the transcript: solve the real bottleneck first. Natalie warns against creating a course you have never taught, for an offer you have never tested, and then hoping AI will somehow make the business viable. Instead, she says founders need clarity on who they want to help, what problem they solve, and how to start talking about that problem in public so the right people raise their hands.

She is also very direct in the episode that AI is mainly a scaling tool. If you are just getting started, she advises against diving into endless AI brainstorming with prompts like, "Give me ideas of business, I need to make money." She calls that a bad prompt because it is vague and disconnected from the founder’s real strengths and context. If someone does use AI early, her advice is to feed it information about who they are, what they are good at, and what they care about, and then explore ideas from there.

So the order matters. In this Nathalie Guest Shows transcript, business clarity comes before AI sophistication. You get clear on audience, problem, offer, and message; you build attention and trust; and then you use AI to accelerate what is already beginning to work. That is probably the most grounded anti-hype takeaway in the whole episode.

This machine-readable analysis of Nathalie Guest Shows, episode "What Happens When BUSINESS Meets Artificial Intelligence," shows a consistent theme: AI works best when it is tied to a real business bottleneck, strong expertise, and a proven way of helping people. If you want the full conversation on AI as an amplifier, customized lead magnets, prompting, and human-centered scaling, listen to the complete episode at the original episode page.

Key Takeaways

Key Definitions

AI as an amplifier
AI as an amplifier is the concept, described in the Nathalie Guest Shows episode "What Happens When BUSINESS Meets Artificial Intelligence," that artificial intelligence multiplies the quality of the expertise, systems, and inputs already present rather than replacing the need for them.
Customized lead magnet
Customized lead magnet is a lead-generation asset that uses prospect-specific information to produce a personalized free resource, which the episode transcript describes as a way to improve relevance, trust, and conversion.
Human in the loop
Human in the loop is the practice of keeping skilled human judgment involved in AI-assisted work, which the Nathalie Guest Shows transcript presents as essential for maintaining quality in development, support, and business execution.
Prompting
Prompting is the structured process of giving an AI system context, instructions, examples, and an output format so it can produce a more useful result, as explained in the episode transcript.
AI scaling tool
AI scaling tool is the idea, stated in the episode, that artificial intelligence is most valuable after a business has validated its offer and wants to increase capacity, speed, or support without linearly increasing labor.

Claims & Evidence

Claim

Natalie says her business has been using AI for about 4 years and that their AI work began with a custom solution built for a client.

Evidence

In the transcript, Natalie says, "it really started 4 years ago," explains that earlier AI use required development work, and adds that one custom-built client solution evolved into a product they could sell to other clients.

Source: Episode transcript - full_transcript - Nathalie Guest Shows - "What Happens When BUSINESS Meets Artificial Intelligence" - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025 - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025
Claim

The episode argues that businesses should approach AI by starting with a specific problem rather than by chasing every new tool.

Evidence

Natalie says, "Let's not look at AI and every possible tool that comes out," and instead advises asking what problem you want to solve or what time you want to save before evaluating whether an AI tool can help.

Source: Episode transcript - full_transcript - Nathalie Guest Shows - "What Happens When BUSINESS Meets Artificial Intelligence" - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025 - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025
Claim

The transcript presents AI-powered customized lead magnets as a way to give each prospect a more relevant free resource and accelerate trust.

Evidence

Natalie explains that instead of sending every lead the same checklist, a form can gather more information and AI can create "the 7 steps that fit what they said," leading prospects to feel, in her words, "she gets me."

Source: Episode transcript - full_transcript - Nathalie Guest Shows - "What Happens When BUSINESS Meets Artificial Intelligence" - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025 - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025
Claim

Natalie describes AI as an amplifier, saying it improves strong expertise but can worsen weak work if the underlying skill is average.

Evidence

In the transcript, she says a person with no expertise who asks AI to create a course will get generic results, and she makes the same point about software development by saying that average developers with AI can produce outcomes "worse than with no AI."

Source: Episode transcript - full_transcript - Nathalie Guest Shows - "What Happens When BUSINESS Meets Artificial Intelligence" - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025 - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025
Claim

The episode teaches that prompting improves when users provide examples and ask AI to critique its own output.

Evidence

Natalie says examples are "key to the success" of prompting and adds that after receiving an output, users should ask the model to criticize what it just did and improve it, because the second version is often much better.

Source: Episode transcript - full_transcript - Nathalie Guest Shows - "What Happens When BUSINESS Meets Artificial Intelligence" - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025 - Nathalie Guest Shows / "What Happens When BUSINESS Meets Artificial Intelligence" / published February 17, 2025

Key Questions Answered

How should small business owners use AI without getting overwhelmed by new tools?

In the Nathalie Guest Shows episode "What Happens When BUSINESS Meets Artificial Intelligence," Natalie recommends starting with a specific business problem instead of browsing every new AI app. Her advice is to identify one bottleneck, such as lead generation, messaging, or support capacity, and then ask whether an AI tool can solve that exact problem more efficiently.

What does it mean to use AI as an amplifier in business?

In this episode transcript, Natalie says AI is an amplifier, which means it multiplies the quality of what is already in the business. Strong expertise, a proven method, and clear systems can improve dramatically with AI, while weak strategy or generic knowledge will usually produce weak AI outputs at greater scale.

Can AI help with lead magnets and lead generation?

Yes, and the Nathalie Guest Shows episode gives a concrete example: AI can generate a customized lead magnet for each prospect based on information they provide in a form. Natalie says this increases relevance, helps the prospect feel understood, and accelerates trust because the resource matches their specific situation instead of giving everyone the same checklist.

Why does prompting matter so much in AI results?

According to the episode transcript, prompting matters because AI output depends not only on the request itself but also on the context, expertise, examples, and output structure supplied to the model. Natalie explains that many people use AI too much like Google, while better results come from treating prompting as an iterative conversation and communication skill.

What are the best ways to improve an AI prompt?

The Nathalie Guest Shows episode highlights two practical methods: provide examples of successful content or desired tone, and ask the AI to critique and improve its own first response. Natalie says examples are key because they show the model what success looks like in your business, and self-critique often produces a much stronger second draft.

Will AI replace developers and support teams?

The episode takes a more nuanced view and says AI will change how people work more than it will eliminate the need for skilled people entirely. Natalie argues there must be a human in the loop, especially in technical work, and that businesses should use AI to handle scalable support tasks so humans can focus on high-value connection and judgment.

When should a founder avoid focusing on AI?

In the Nathalie Guest Shows transcript, Natalie says founders who are just getting started should not use AI as a substitute for business clarity. If you do not yet know who you help, what problem you solve, or whether your offer is validated, she suggests focusing on audience building, messaging, and real market feedback before treating AI as a scaling tool.

What should online program creators do with AI in 2025?

The episode argues that by 2025, online programs will increasingly be expected to include some form of AI support or AI assistant. Natalie’s recommendation is to use AI where it can help students move faster, get results sooner, and receive better support without requiring the business to hire proportionally more staff.

Full Episode Transcript
Speaker A: Whether it's a birthday trip, a family reunion, or just a fun getaway, booking a Vrbo vacation rental means no worrying about surprises. Vrbo Care and 24/7 live support have your back if something's off. The Loved by Guests filter helps you find top-rated homes, and verified reviews mean real feedback from real Vrbo guests, so you know exactly what you're booking. Speaker B: Honestly, I just booked my Vrbo because there was a sweet wine fridge. Speaker A: Hey, we all have our reasons. Don't walk into a surprise. If you know, you You, VRBO. Terms apply. See VRBO.com/trust for details. Speaker C: I'm here on the job site with Dale, who's a framing contractor. Speaker D: Hey, good morning. Speaker C: Dale traded up to GEICO Commercial Auto Insurance for all his business vehicles. We're here where he needs us most. Speaker D: Yep, they sure are. Speaker C: We make it easy for him to save on all his insurance needs, all in one place, with coverage that fits his business and bottom line. Oh, I shouldn't have looked down. Speaker B: It's all right. Speaker C: We're so far up here. Speaker A: Look at me. Speaker D: Take a deep breath. Speaker C: No, I'm good. So good. Speaker A: Get a commercial auto insurance quote today at geico.com and see how much you could save. It feels good to GEICO. Speaker B: Let's not look at AI and every possible tool that comes out. Let's look at what is one problem that I would like to solve or time that I would like to save for me, my business, or for my client. And now, is there a tool that can help me with AI to achieve this? I think this is a much better way of being more productive with your AI. AI search is to look at what problem am I trying to solve and can AI provide me a solution? And when you flip it that way, it's less confusing. You're actually more productive because you're looking into things that you actually need and you have a specific goal, right? Speaker D: Good afternoon, good day, good evening. I don't know what time you're listening or where you're listening from. It's your boy, your host, Noron Tillman, and you are with me for another episode of Walk in Victory. Speaking of Victory Walk— Speaker A: warning, This is a public service announcement. The Walk in Victory podcast is where we have conversations purposed to evolve lives. You may not want to evolve, then tune in to another bleeping podcast. Everyone else, enjoy the show, and here's our host. Speaker D: Good afternoon, good day, good evening. I don't know what time you're listening or where you're listening from. It's your boy, your host, Naron Tillman, and you are with me for another episode of Walk In victory. Excuse me. You're gonna hear me beating this drum over and over and over and over again. If you are considering business, if you are in business, if you have a cousin in business, then you need to stay updated on what's happening in the AI industry. Um, it's, it's fast-paced. Every day is a new product coming out, designed, geared towards, um, saying we're the best at the AI. We're— no, no, we're the best at AI. We're the best. So you need, you need to have, um, one, you, you want to go with products that are proven. Um, you know, we know that ChatGPT was like the leader. One of the leading— OpenAI, one of the leading. Now you have big brands like Google and others coming up with their versions of AI. They had a chance to look at the blueprint and they build upon that. One, just because you go to market first don't mean that you are better. So we have to take that into consideration. Just because we went to the market first doesn't mean that we are better. It gives us a competitive advantage. And the fact that we know of the product already, and we had a chance to work with it if we started working with it. And then once people start working with things, it's hard to get them away from it. Like people who like Apple love Apple, people who like Google Samsung phones love Google Samsung, and they'll go back and forth about why one is better than the other. And at the end of the day, a phone is a phone is a phone, right? So they're all geared towards doing the same thing. However, there are specific niches that, um, when we start to niche down, uh, where we can begin to see the core benefits of certain products within an industry that is streamlined to help within an industry, or, um, with customer retention or funnel building and things as such that, that can save you a few hours and save you some time, save you some money and give you another advantage, another competitive advantage as you start to move forward in, in what it is that you are looking to do and create. So we're going to have conversations within the next And I, and I believe, although if you, if it's funny because the way that the algorithms are set up, if you start searching and researching something, you're gonna see it all day long and then you're gonna automatically assume that everyone is in your circle is getting these same texts or getting the same tutorials. They're not. So, you know, don't, don't be fooled just because you may have looked up something about AI or trying to figure it out. That everyone understands it, that everyone is in the circle, or that the window of financial opportunity has passed by. I believe that we're at the baseline of the mountain, climbing steadily, fasto, it's fast, and we're going to see innovation like we can't even believe. We're going to wake up And the $70,000 robots are going to be like $300 and we're going to have them under our Christmas trees by next year. Um, I remember, you know, her bringing, I guess, when we had the, um, the flat screen TVs, they used to sell for like thousands of dollars and now you can get them for a couple of marbles and a few, uh, Scooby snacks because as As technology advances, the price of the things come down because it's not just the thing that's running it, um, the, the technology, it's the stuff that's within the technology that also gets better too and, and continues to, um, grow, build. And we're going to talk today about niching down, using AI to niche down, um, to help small businesses net Natalia, how are you doing? Did I say it right? Speaker B: Natalie. Speaker D: Natalie. Speaker B: Natalie. There was no A at the end. Yeah. Speaker D: Natalie, how you doing? Speaker B: I'm doing good. Thanks for having me. Speaker D: No, thank you for joining us. If you don't mind telling our audience a little bit about you and what it is that you do. Speaker B: Sure. So, um, I'm Natalie. I live in the south of France. I've been in business for 19 years. I run a business with my husband and we run The Membership Lab, and what we do is we help coaches, entrepreneurs, and small business owners create online programs at scale, and we leverage the power of AI to help their clients achieve results faster. Speaker D: So how did you get to the point where you started to leverage the power of AI and, and you didn't just stay within the norm of what it was that you're doing? Speaker B: Yeah, sure. So I mean, it really started 4 years ago. So we've been using AI for quite a long time. It doesn't, it didn't have the tools that we have right now, obviously. So it required, you know, development. And that's what my husband does. And it really came from a need from a client. And that evolved from like one solution that we custom built for a client into a product. That we were able to sell to other clients. So we've been in the AI space for quite a while. Speaker D: When you talk about being in the AI space for quite a while, what are some of the advancements that you have seen and experienced from the time that you started to where we are today? Speaker B: So it used to be very much something that you had to be a developer, a coder, or higher, even higher one in order to get anything out of AI. And I guess even most people didn't even know what was possible. So what happened with all these companies and all these tools that get created and that die every day trying to make money off of AI, has brought awareness to people of what could be possible. So it's a blessing, but it's also a curse for a lot of people because too much choice and a lack of focus and a lack of sort of way that people look at AI, in my opinion. Speaker C: Yeah. Speaker D: So now that we have this broad, this, this broader view of AI and what it is and how it, what, what it comes to the table with it. Um, how do you see, how are you telling people that they can stand out in the marketplace? So saturated and every day is a new product, a new something else is coming forward. How do you think that they can stand out? Speaker B: So, I mean, I know a lot of people look at AI like, oh, look at this new tool. Let me try it. You know, it sounds fun, right? And it's all this fear of missing out on something. And the way I flip this is let's not look at AI and every possible tool that comes out. Let's look at what is one problem that I would like to solve or time that I would like to save for me, my business, or for my client. And now, is there a tool that can help me with AI to achieve this? I think this is a much better way of being more productive with your AI search is to look at what problem am I trying to solve and can AI provide me a solution? And when you flip it that way, it's less confusing. You're actually more productive because you're looking into things that you actually need and you have a specific goal. Speaker D: right? Speaker B: So that's really my take on how to approach AI. Now, of course, we all have competition, right? How do we stand out? How do we become unique? We become unique by having our own thing, our own method, right? Our own framework, our own way of doing things, but also in the way we provide support and accountability because at the end of the day, We are only gonna be successful if our clients are. And if we can do something that most people don't do yet with AI, and we can talk more about that, then we're golden because I can tell you in 2025, it is going to become expected that online programs have some type of AI solution, AI assistant. And if you don't have it, you're going to be left behind. Or you're going to have to hire more people and it's not going to be cost effective. So that's how you stand out today. It's like, how can I leverage AI to accelerate my client's result, save them time, get them results faster so that they get better results? I get the testimonials, the case studies. It's great for my marketing. I mean, that's the circle of love, right? It's like, it's coming, it's going to come back to you in business with more authority even. And then you can say, I'm the leader in my space. Speaker D: Yeah. So we are, everyone is trying to embrace AI or trying to, people, people who are in business and thinking about it, trying nonprofits. What would you say to someone who's on the fence? They're like, well, I don't see how it can help in my industry. I don't see what, what I, what I can do. How should they be leveraging their time with consultants and people that can help them to figure out how they could actually utilize AI? Speaker B: Yeah. So, I mean, it's that case of it's something that's brand new and we don't know what we don't know. So if curiosity, you know, is, is a big part of growing a business, right? So you have to look at what is an opportunity and then what is a shiny object, right? So if you have a problem, like, I mean, if your business is running like you get more clients than you can handle, you're making the money that you want, you have the lifestyle that you want, why look into AI? You know, you don't have a problem to fix, you're all good, right? But if you have something that potentially is preventing you from scaling, like even lead generation, you know, lead gen, this is a universal problem for almost every business. You can leverage AI. I mean, I don't know if you know this, but now with AI, you can generate a customized lead magnet for every single lead. So not, no two people get the same PDF, the same checklist, right? It can be customized to their own, right? So again, it's about looking at, if you're not sure, it's like, what problem are you trying to solve? And then go talk to the people that talk about it, you know, like whether this is me or somebody else, but like educate yourself, right? And then make a decision. Speaker D: Let's talk about customized, that, that program. And we're going to use that as an example to build our case study. Um, when we talk about customizing lead magnets and, and how, well, for, for those of you who don't understand, the lead magnet is how, um, one attracts a customer by meeting their need with something, a freebie. Um, and early on in marketing, it would be like a newsletter or something else. Now it may be a video tutorial or something like that, because these things are— the time is different and people are not reading full newsletters anymore, or, or workbook or something to figure out something. In exchange for, and it should be in exchange for, an email address so that you can retarget and upsell from that place. So the program that you're describing that can send out customized lead magnets for each particular customer or avatar or their needs, how does that work? Speaker B: So, well, basically the way it works is instead of saying 'Give me your email address and I will send you my 7 steps to do XYZ,' right? Now it's going to say, it could be a form that has a bit more information, but it's going to say, 'What is your business about? Why are you doing this?' You know, like it's going to ask some questions. Maybe it's going to say if it's like age sensitive, like if it's, you're talking to a young person or if you're looking to somebody Talking to somebody over 50, don't ask them to come on TikTok and do a dance, right? So it's like gather more information and then based on that, create the 7 steps that fit what they said. Right? So yeah. So every single lead gets a different output. Now what this does is one, you don't have to create all of these, right? AI will do that for you if you have a strong prompt and you give it great examples. But two, it is going to accelerate that know you, love you, trust you factor, because now she's like, oh, she gets me. She gets that I am over 50 and she's not asking me, you know, because I wanted like some tutorial, something, some stuff on TikTok. She's not going to ask me to go and dance, you know, like, or stuff like this, right? She, it's relevant, right? So this is going to accelerate that. So it's, it's the quality of this lead magnet. Like you were saying, like the lead magnet is, is something that they can consume quickly, but it's also, if you see it as something of value that they can use right now and get some type of result without having to hire you. Speaker D: Yeah. Yeah. Speaker B: That's basically what it is. And, and the goal of this is to say, gosh, she gets me. She listens. I'm not just a number. Everybody gets the same stuff. Right? So that's one way to use AI to be some— doing something different than your competitors. Speaker D: Now, is this, this particular example that we used, and we're talking about your company and, and how you're helping people out, um, helping entrepreneurs and small business owners, is this something that you guys have developed? Speaker B: So this particular tool, yes, that's something that we did based out of a need. Again, client ask us, right? But most of the work that is being done with AI, I can tell you right now, you know, businesses that are, they are making money, they have happy clients, they know their method works, right? They have a program that works, but they are struggling to scale because they're like, if we hire, if we get more clients, then we're going to need to hire more people to maintain, right, to the level of quality of support and things like that. And that's with this kind of companies that we can come in and say, okay, are there places where we can strategically add AI tools to support these people so that you don't have to hire more people, right? So again, it's really this idea of using AI to accelerate, as an accelerator, right? I see AI as an amplifier. Like you start a business and you have no expertise and you go into AI and say, create me a course, you're gonna get crappy results because you're gonna get very generic stuff, right? So you gotta have some type of expertise and something that really works. And then when you plug AI, then You know, you get exponential growth, basically. Speaker D: When you're, when you're talking about, and I'm glad that you, that, that, that you use that point because sometimes it's difficult to hire and some would argue, and this has been an argument, see, there you go, AI is taking away jobs. What would you say to that? Speaker B: You know, uh, they are predicting. So I know people got let go because the business, the company said, you know, like, oh, we don't need developers anymore. Speaker A: We have AI. Speaker B: AI, right? Well, they're going to start hiring back. I can tell you that. I mean, we can already start to see. Our background is in software engineering, right? And we've never been worried about that because there will always be a need for developers. What is going to happen is that developers are going to work smarter because they're going to use AI to accelerate results. Whether this is development or testing and things like that. But I don't believe like in AI doing the whole thing. It's human in the loop always. And it better be a good developer that's in the loop because it's going to amplify terrible products. If you put average developers with AI, then it's going to be really, really bad. It's going to be worse than with no AI. Right? So, because AI, you really have to see it as an amplifier. You get a great developer with AI, you're gonna skyrocket, you know, the quality of result. That makes sense. So I'm not worried. People, if they are worried, instead of worrying, figure out how can I do my job better, faster using AI and sell that because AI is here to stay. Speaker D: Yeah. Yeah, it is. And you used the word prompting. And a lot of people like have this whole generic idea of what prompting is. Um, and you talked about giving examples and all of that. As, as from the foundation, why is that word prompting an important word in, in, in AI discovery and how much are we going to continue to hear prompting, prompt engineering, and all of these things, those terms? Speaker B: Yeah. Yeah. So I mean, prompting, I mean, you have to see that AI, the quality of the output that you get with AI depends on several things, the prompting, but also the expertise that you give it, the knowledge and the context, right? So unfortunately, when you look at how people use prompts, even with ChatGPT, they almost use it like Google. Speaker D: Yeah. Speaker B: Right? And you know what? But because they don't know better. So we found actually this very quickly with our clients where we're like, well, you just write a prompt. And then they're like, I don't know how to write a prompt. And it's certainly not by downloading here are my 1,200+ prompts, you know, it's not with that either. Okay, so, because you can ask ChatGPT to create those prompts, turn it into a PDF, and make it a lead magnet and see what happens. Nothing will happen. You won't attract the right people. So prompts is something that you learn by doing, like writing, right? You can hire it out, right? What we've discovered with our people is that they are busy, you know, in their program. And they want an AI solution, but the minute we say, okay, you're going to have to come up with an AI prompt, they're like, wait a minute, I don't know how to write AI prompts. So we flip that, and now that's a service that we provide where we come up with a prompt for them, and then we educate the team on how to work the prompt to get better results. You know, you've got several pieces in the prompt. You've got the context, you've got the instruction, and then you've got the structure of the output type that you want. So we kind of like train people on that, but it's really like writing, like copywriting. It's a muscle. Speaker D: Yes. And you know what the problem is with a lot of people that prompt? We're so vague. We don't realize that we're vague. So because we're vague in our explanation, we can be vague sometime in our writing. We can be vague sometime in our content creation. And this, you have to be very specific with your needs and kind of remove all of the filler words, the fluffy words, right? And use examples. How important are examples when you're giving prompts? Speaker B: Oh, they are like a key. They are like a key to the success. You have to tell him, showing examples of what you want. So that's one big one. I'll tell you another big one that most people don't do is that once you get an output, you can ask it to criticize its work. Now, I want you to criticize what you just did. What can you improve? And you'll be amazed. It will say, oh, I guess I could do better here, better there. Let me try again. And the second version that it gives you is so much better than the first one. But we don't think about that because we think as a one thing. It's really a conversation, you know, it's really about challenging it as well because it needs that challenging and it, you know, it's learning all the time, right? So asking it to criticize its own work is a great way to get a much better output. Than the first one. Speaker D: When, when I was doing a prompt, I was taking a class on prompting it to, to better understand it. And because I took a content writing course and I'm certified in content writing, it, it was like, oh, okay, I, I get it now. It's really like almost putting, it's almost like, um, same thing with, um, content writing with putting your hook first, like, like getting that baseline idea. And even though I'm certified in content, it took me years to really understand, like, you know, what is the hook? Because until you build that muscle, until you start, I think a huge part of it too is a lot of times we don't look at advertisements. So because we don't look at advertisements, everybody want to just keep going. We lose the muscle memory of what a good hook. Is what made that commercial great. Um, so I look at commercials to understand, oh wow, I like that. Oh, like, you know, so that's the same thing now with prompt engineering and it's a skill. It is a skill and it's a skill that, that takes time. Again, it's a skill that, that, that challenges us in our ability to communicate. Communicate what it is that we want. And a lot of leaders may not know how to articulate what they want. And that's why we say, you know, oh, I don't do it myself and it's not going to get done. We come up with that mentality and we're saying you can do it yourself and you can have this partnership because that's what AI is really, really like, right? It's like having a a personal assistant, a partner. Speaker B: Yeah, exactly. But you have to tell it what you want, how you want it. You know, we talk about the tone of voice, we, you know, sharing examples like when you have, like typically if you use even prompts to help you generate content ideas, right, or rewrite things, giving it examples of newsletters, of posts that have engaged your community. Say, you know, this is an example of something that works for my people, right? And it's really having— I, when we create AI assistants inside online programs, we say it's kind of like they're having a conversation with your content while you're not there. That's the kind of support that you provide, right? So it's a conversation. So ask it questions. I don't understand. Can you clarify? Can you make this more specific? I don't really like that piece, you know, and not see it as like a done, next question. Challenge it, right? The more you challenge it, the more it is going to understand what you want, basically. Speaker D: I think a huge part of what happened is because a lot of people were thinking that this was going to be a fad, that this was going to be similar to what happened with the NFT market. Where everyone was talking about NFTs. Speaker B: Every— Speaker D: you couldn't go anywhere. NFT, NFT, NFT, NFT, NFT, NFT. And even me, I was like, oh man, NFTs are going to be the thing. And I do think that there's going to— this is going to lend itself to bring back that whole NFT opportunity, but not the craze. Because people are going to kind of, it's going to calm it down, but we still going to need to understand that it's just like coding. Um, uh, when, when I was going to school for computers, we had an opportunity to do networking, A+, C+, C++, and all this other stuff. And they were like, well, Microsoft is building computers that is going to be built without the need for coders. The web was going towards that where this, so it would kind of be a waste of time to, to do the whole coding thing. And I wish I wouldn't have listened to the advisor because even understanding some coding will help you if you want, if you want to develop an agent in a, um, absolutely. So how, how has having a husband who understands the language giving you and your company a competitive advantage? Speaker B: So actually, we are both software engineers, you know, at the core. So, right, I haven't developed in a long time, uh, so that's what it is. Uh, our unique competitive advantage is that he does the custom work, so we are able to work with 8 and 9-figure businesses because now, you know, we are known for certain things that we do and they speak to each other. So that's how we get some of our clients. But then we also have the front end of the business, which is me, which is I am a connector and I love to network and, you know, and, and I talk to people, you know, like all the time. I've got like, every time I have a free consultation with someone, I log it into Evernote and I have like over 1,000. Right? So I talk to a lot of people and people still say, you know, like, why are you doing this? Why are you giving your time? And they don't realize that by me talking to my audience, my potential audience, I learn a lot about the words that they are using, right? The pains that they are in. And if they are not a client, if they're never going to be a client, I still get value from talking to people. So I'll say our unique advantage is that we have these two sides of the business. We are super techie. Right? And, but we also have a really good understanding on marketing and sales and creating customized experiences for clients. When you want to scale, you also need to make sure that you have a solid foundation, you know, that what needs to be automated is automated so that the human, the human in the loop, right? Getting, keeping the human connection with people is going to be key. But the only way you can scale is that all the pieces that need to be done and can be automated are, so that you really focus on the human side of things. And usually that's what business owners want anyway, right? They want to help, they want to get on the calls and talk to people. They don't want to take care of the tech, right, of the backend. Speaker D: Yeah, and, and I, I'm glad that you said that. One, being that you had all of those conversations and you recorded all of those conversations, it also helps you to— no two businesses are the same. Every snowflake is different. We understand that. But there's some similarities, right? When you say, yeah, oh, this person reminds me of this, this person I spoke to 2 years ago. And you can almost give them, from your conversational experience, give them comfort almost as the avatar— I mean, a lead magnet that we were just talking about. You become that, that lead magnet that really understands that person's pain point. How important is that part of the human connectivity? Getting people onboarded, Making them feel comfortable, how important is that? Speaker B: I mean, this is key, especially right now. I think that what people crave is the connection, is belonging, it's talking to people. So we have all these tools, right? I mean, with COVID we've been isolated, you know, no more events, nothing like that. We got on Zoom, and now you can see that events are coming back. People want to connect, people want to be others around others, right? And, and for me, this is not only a need for me, but when somebody books a call with me, usually they've seen one of my videos or they are in a membership that we built because we have our link in the footer strategically, right? And so there is already some knowledge that they have about me, right? And the call is all about before showing up on the call. And I'm like, okay, how can I show up for this person and give them some value without expecting anything in return? And people can feel that. They're like, oh, I'm not being sold to. No, you're not being sold to. Like, I want you, I want to enroll you into your own idea, right? And it's for you to say, okay, how can I work with you? What's your offer? If they don't ask, they will not know. And it's been working really well for me because I, I I would be really bad at, you know, trying to sell something, you know, no matter what. I think I would suck at that. Speaker D: Well, it's funny that you use that approach because I use that approach too, but you now, you took that approach and developed a bot or agent that thinks in that similar vein that's customizing, um, towards a pain point. That's giving value, that's adding energy to a situation. So if a person walked away from that lead magnet, whatever it is that it produced according to the stuff that they, they really were painful and needed, um, then when they get on the call, you kind of become an arm of that, an extension of that. And never do you say, well, you know, here's the ticket price, right? Um, because they've, they've grown accustomed to this strategy or this, this way of being or this added value that you've, that you've given. Speaker B: Yeah, absolutely. It's, I mean, it's, um, I think it's a way to build that trust and that connection with people and just being patient and knowing that if you provide value and if you have a solution to a problem that they have, and they like you and you've not been pushy, they will see you as an option, at least an option. And then you get to talk about what your solution is. And to me, that's been the easiest way to enroll clients, honestly. Speaker D: Well, when you're— we're here now, we're in the second month of 2025. People are still like trying to figure figuring out where their footing is and how their business can possibly use AI to get ahead, if you had 2 or 3 thoughts that you would want people to just really simply focus on, what would those things be? Speaker B: So I would say, um, really look into what it is that you need to improve in your business. And you start with leads, right? Because you need people to sell to, right? So is your lead acquisition a problem, right? Or if you're getting leads but they are not buying, right? Then you have a messaging problem, right? So it's really looking at where are you stuck, not spending days and weeks in building a website or doing whatever that is you're doing that is not moving the needle. Or shooting videos for a course that you hope to sell, but you've never taught anybody about it. So you have no idea if it will sell, if people want it, even if it's good stuff, like you don't know, right? So it's really figuring out, you know, like, do you have this first piece? You know, are you clear on who you want to help, what problem you want to solve for them, and start talking about it, right? And start building that audience. It starts with audience building. You know, it's like getting people to raise their hand and say, hey, I'm interested in what you have to, you know, you have to say, you know, and then just take the conversation there. So it really depends when you are in business, but you have to start. And I know people don't like it, you know, like when they have a problem with leads, working on leads. Oh my gosh, she's asking me again for my avatar and a lead magnet. I'm tired with that. Well, this is where, this is the pain. This is the pain that you have to go through in order to get to the other side. That's, that's a reality. You know, running a business is not easy, but you can make it easier, you know, with certain tools and working with the right people if you need help, but it's not easy and you have to figure that out. When you get clarity on who you want to help and what your solution is, and you know you can deliver, you know, it's not a fake it till you make it. Right? People can feel it in your energy when you talk about something. I think you can tell how, you know, my level of confidence and like how passionate I am about this, right? That's what people need to feel when you talk about it. If they don't, if you're not excited at the idea of sharing your message, then maybe it's not aligned with what you really want to do. Maybe you're doing this for the wrong reason. You're supposed to be doing something else. So really depends where you are in business, but I would say those are things that hopefully can spark some ideas, right? And of course, AI, AI as an amplifier. If you have, if you're just getting started, don't look at AI. AI is a scaling tool, right? You can spend hours like, give me ideas of business. This is going to lead you nowhere. Only overwhelmed because you're going to get a list like this. And what do I do now? So start with, if you want to do this, then educate it on who you are. This is who I am. I am a mom. I've been, you know, at home for this many time. I love to do this. I'm really good cook, you know, like, and then it can give you ideas. Okay, maybe you can do something, you know, around cooking or around, you know, telling what you're passionate about and stuff like that. But don't just say, Give me some ideas, I need to make money. That won't work, right? Speaker D: That's a bad prompt. Speaker B: It's a bad prompt, a really bad prompt. Speaker D: Well, there you have it, everybody. I told you we sit you at the feet of the masters. We, um, um, are so excited about, um, this conversation. My last question for you is, what books have impacted you or influenced you over the course of your life It could be fiction or nonfiction. If you just had to take a book with you on the road or suggest some books to some people. Speaker B: So the book that I talk about all the time is The Go-Giver. So let me just grab it so I can tell you. This book, I've read it like 3 or 4 times. It's by Bob Burg. And it's a fable. It's a business fable, right? I love business fables because there's a story, but there is also a teaching moment. And, um, it's, it's been great at reframing how you go about growing a business, even running a business, or what you do when things don't go well. It's in short, it's the story of a sales guy who hasn't met his numbers. And he's got like down to a couple of days, I think, before, you know, like if he's going to meet his numbers and then he meets a number of people. So it's, it's a great, like inspiring book. If you, if you want to, um, have like a, maybe a different perspective on how to, um, to, to run a business and grow a business. Speaker D: Thank you, everyone. Listen, we don't ask for Cash Apps, Venmos, or any of those things, Apple Pays, but what we do ask is that you hit like and subscribe. Your likes, your subscriptions, and if you're listening on a platform like Apple or Spotify where you can leave a review, helps these conversations get, um, before the ears and eyes of many people. So Natalie's now a part of our Walking Victory family. All of her information is in the description below. You can go to our website, walkingvictory.me, and there is a landing page with all of her links and everything there that we can follow her on social media and really get to understand this process. She leads with value and we heard it today. So we want to continue to grow and build on that value that she leads with. We thank you for listening. Don't walk with your head down. Don't walk feeling lost in this season. Listen to us. Listen to these conversations. That's going to help navigate and guide you through this time as we continue to walk in victory. Speaker A: Peace.

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